Data Scientist – Early Career (2027 Start)

American Credit Acceptance Careers; Spartanburg (SC); On-site; USD 90,000 - 120,000; Full time

Job summary

American Credit Acceptance, LLC in Spartanburg, SC is hiring a Data Scientist for 2027 entry with a focus on analytics, ML, and predictive modeling to improve pricing and forecasting. You will work across pricing, forecasting, fraud analytics, and web analytics to deliver insights and business value.

You will use R, Python, SQL, and Tableau to extract data, validate models, and present results to senior leadership, collaborating with Operations, Legal, IT, and Finance to drive decisions and

Qualifications

• Bachelor’s or higher degree (or its equivalent) in Mathematics, Statistics, or a related analytical field with exceptional academic performance (3.4+ GPA).
• Experience validating and monitoring models using statistical techniques and KPIs relevant in a business environment.
• Exceptional written and verbal communication, able to convey results to technical and non-technical audiences.

Responsibilities

• Analyze large amounts of structured and unstructured data using scientific methods to improve business performance in pricing, forecasting, and analytics.
• Develop and leverage predictive models and ML techniques (regression, trees, SVM, neural networks) for business insights.
• Operate with R, Python, SQL, Tableau to extract data, develop, analyze, validate, and deploy models.
• Collaborate with Operations, Legal, Compliance, IT, Finance, and Vendor Management to apply statistical methods appropriately.
• Monitor model inputs and performance; update models as needed; report results to senior executives.

Skills

R

Python

SQL

Tableau

Machine learning

Education

Bachelor’s degree in Mathematics/Statistics

Tools

R

Python

SQL

Tableau

Job description

American Credit Acceptance, LLC in Spartanburg, SC is hiring a Data Scientist for 2027 entry with a focus on analytics, ML, and predictive modeling to improve pricing and forecasting. You will work across pricing, forecasting, fraud analytics, and web analytics to deliver insights and business value.

You will use R, Python, SQL, and Tableau to extract data, validate models, and present results to senior leadership, collaborating with Operations, Legal, IT, and Finance to drive decisions and